Tesla vs S&P 500 Stock Analysis

📘 Project Overview

This repository contains an in-depth analysis comparing the stock performance of Tesla and the S&P 500 index from 2011 to 2021. It includes visualizations and key insights into financial trends, trading volumes, and other metrics, leveraging Python and advanced data analytics techniques.

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🔍 Key Insights

1. Tesla's stock exhibits significantly higher volatility compared to the S&P 500.
2. Periods of overbought and oversold conditions were identified using the RSI indicator.
3. A positive correlation exists between Tesla's performance and the S&P 500 during certain timeframes.
4. Detailed analysis highlights Tesla's trading volume trends and their relationship with closing prices.

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📊 Visualizations

Average Monthly Returns

Yearly Closing Prices

2-Day Percentage Changes After Earnings Announcements

Correlation Between Tesla and S&P 500 Daily Returns

Distribution of Daily Returns

Tesla Closing Price and RSI Analysis

Yearly Average Trading Volume Trends

Tesla Closing Price and VWAP

Correlation Between Yearly Closing Prices and Volume

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🛠 Tools and Technologies

• Python Libraries:
  • pandas and numpy: For data manipulation and calculations.
  • matplotlib and seaborn: For creating visualizations.
• Data Sources:
  • Tesla Data: better tesla data.csv (processed Tesla stock data).
  • S&P 500 Data: SPX.csv (S&P 500 index data).
• Files:
  • Analysis script: TslaAnalysisCode.py.

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🚀 How to Run the Analysis

1. Clone this repository to your local machine:

   git clone https://github.com/segevcoh7/Tesla-vs-SPX-Analysis.git